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A modified Fresnel-based algorithm for 3D microwave imaging of metal objects

Published online by Cambridge University Press:  12 September 2018

Farshad Zamiri  and
Abdolreza Nabavi Open the ORCID record for Abdolreza Nabavi [Opens in a new window]
Farshad Zamiri
Affiliation:
Faculty of Electrical and Computer Eng., Tarbiat Modares University, Tehran, Iran
Abdolreza Nabavi*
Affiliation:
Faculty of Electrical and Computer Eng., Tarbiat Modares University, Tehran, Iran
*
Author for correspondence: Abdolreza Nabavi, E-mail: [email protected]
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Abstract

Microwave holography technique reconstructs a target image using recorded amplitudes and phases of the signals reflected from the target with Fast Fourier Transform (FFT)-based algorithms. The reconstruction algorithms have two or more steps of two- and three-dimensional Fourier transforms, which have a high computational load. In this paper, by neglecting the impact of target depth on image reconstruction, an efficient Fresnel-based algorithm is proposed, involving only one-step FFT for both single- and multi-frequency microwave imaging. Numerous tests have been performed to show the effectiveness of the proposed algorithm including planar and non-planar targets, using the raw data gathered by means of a scanner operating in X-band. Finally, a low-cost and high-speed hardware architecture based on fixed-point arithmetic is introduced which reconstructs the planar targets. This pipeline architecture was tested on field programmable gate arrays operating at 200 MHz clock frequency, which illustrates more than 30 times improvement in computation time compared with a computer.

Keywords

Microwave imagingmicrowave photonicsTeraHertz technology and applications
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Issue 4 , May 2019 , pp. 313 - 325
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2018 

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References

1.Narayanan, RM, Wilson, SA and Rangaswamy, M (2017) Sparsely Sampled Wideband Radar Holographic Imaging for Detection of Concealed Objects. Progress in Electromagnetics Research B 72, 67–93.Google Scholar
2.Sheen, DM, McMakin, DL and Hall, TE (2001) Three-Dimensional Millimeter-Wave Imaging for Concealed Weapon Detection. IEEE Transactions on Microwave Theory and Techniques 49, 1581–1592.Google Scholar
3.Ivashov, SI, Razevig, VV, Vasiliev, IA, Zhuravlev, AV, Bechtel, TD and Capineri, L (2011) Holographic Subsurface Radar of Rascan Type: Development and Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4, 763–778.Google Scholar
4.Sheen, DM, McMakin, DL, Collins, HD, Hall, TE and Severtsen, RH (1996) Concealed Explosive Detection on Personnel Using a Wideband Holographic Millimeter-Wave Imaging System. Paper presented at the Aerospace/Defense Sensing and Controls 2755, 503–513.Google Scholar
5.Zhuravlev, A, Bugaev, A, Ivashov, S, Razevig, V and Vasiliev, I (2011) Microwave Holography in Detection of Hidden Objects under the Surface and beneath Clothes. Paper presented at the XXXth URSI General Assembly and Scientific Symposium, 1–4.Google Scholar
6.Razevig, V, Ivashov, S, Vasiliev, I and Zhuravlev, A (2012) Comparison of Different Methods for Reconstruction of Microwave Holograms Recorded by the Subsurface Radar. Paper presented at the Ground Penetrating Radar (GPR), 14th International Conference on, 335–339.Google Scholar
7.Savelyev, T and Yarovoy, A (2013) 3d Imaging by Fast Deconvolution Algorithm in Short-Range Uwb Radar for Concealed Weapon Detection. International Journal of Microwave and Wireless Technologies 5, 381–389.Google Scholar
8.Zhuravlev, A, Ivashov, S, Razevig, V, Vasiliev, I and Bechtel, T (2014) Inverse Synthetic Aperture Radar Imaging for Concealed Object Detection on a Naturally Walking Person. SPIE 9074.Google Scholar
9.Yurduseven, O (2014) Indirect Microwave Holographic Imaging of Concealed Ordnance for Airport Security Imaging Systems. Progress In Electromagnetics Research 146, 7–13.Google Scholar
10.Sun, Y, Hu, W-D, Meng, X-X and Lv, X (2015) 3-D near-Field Millimeter Wave Imaging Based on Stepped Frequency System. Paper presented at the Advanced Materials and Processes for RF and THz Applications (IMWS-AMP), IEEE MTT-S International Microwave Workshop Series on, 2015.Google Scholar
11.Zhu, Y-K, Yang, M-H, Wu, L, Sun, Y and Sun, X-W (2016) Millimeter-Wave Holographic Imaging Algorithm with Amplitude Corrections. Progress In Electromagnetics Research M 49, 33–39.Google Scholar
12.Tan, W, Huang, P, Huang, Z, Qi, Y and Wang, W (2017) Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique. International Journal of Antennas and Propagation 2017, 1–11.Google Scholar
13.Bhatia, R, Sharma, AK and Saxena, J (2016) Improved Analysis of Four Wave Mixing with Sub-Plank Higher-Order Dispersion Parameters in Optical Communication Systems. Optik 127, 9474–9478.Google Scholar
14.Bhatia, R, Sharma Ajay, K and Saxena, J (2016) Comparative Investigations of DWDM Transmission System with PMD for Different Orthogonally Modulated Signals at 80 Gb/S. International Journal of Communication Systems 29, 1084–1090.Google Scholar
15.Schnars, U and Jüptner, W (2005) Digital Holography: Digital Hologram Recording, Numerical Reconstruction, and Related Techniques. Germany: Springer-Verlag Berlin Heidelberg.Google Scholar
16.Sakamoto, Y, Tajiri, K, Sawai, T and Aoki, Y (1988) Three-Dimensional Imaging of Objects in Accumulated Snow Using Multifrequency Holography. IEEE Transactions on Geoscience and Remote Sensing 26, 430–436.Google Scholar
17.Zhuge, X (2010) Short-Range Ultra-Wideband Imaging with Multiple-Input Multiple-Output Arrays (Doctoral thesis). Department Electrical Engineering, Mathematics and Computer Science, TUDelf University, Delft, Netherlands.Google Scholar
18.xfft_ds260, LogiCORE IP Fast Fourier Transform v7.1 (2011) XILINX corporation.Google Scholar
19.Wang, Z, Bovik, AC, Sheikh, HR and Simoncelli, EP (2004) Image Quality Assessment: From Error Visibility to Structural Similarity. IEEE Transactions on Image Processing 13, 600–612.Google Scholar